Evidence map›Paper›PMID 41787420›Full record

ArticleBMC health services research2026

Association between diabetic patients' satisfaction with local medical services and experiences of unmet healthcare needs.

Woorim Kim, Kyujin Chang, Soon Young Lee, Yeong Jun Ju

Abstract read
In one paragraph

Article in BMC health services research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Woorim KimCancer Knowledge & Information Center, National Cancer Control Institute, National Cancer Center, Goyang-si, Gyeonggi-do, Republic of Korea.ORCID http://orcid.org/0000-0002-1199-6822
Kyujin ChangGraduate School of Public Health, Ajou University, Suwon-si, Gyeonggi-do, Republic of Korea.ORCID http://orcid.org/0000-0001-6607-4756
Soon Young LeeGraduate School of Public Health, Ajou University, Suwon-si, Gyeonggi-do, Republic of Korea.ORCID http://orcid.org/0000-0002-3160-577X
Yeong Jun JuGraduate School of Public Health, Ajou University, Suwon-si, Gyeonggi-do, Republic of Korea. joomeon@ajou.ac.kr.ORCID http://orcid.org/0000-0003-4891-0524

Funding

Ministry of Science and ICT, South Korea RS-2022-NR072242
6 · The paper itself

Abstract

backgroundUnmet healthcare needs reflect timely access to medical care perceived to be required by an individual. This study investigated the association between the unmet healthcare needs and satisfaction with local medical services in patients with diabetes.

methodsData from the 2023 Korea Community Health Survey were used. Descriptive statistics were measured using a chi-squared test. The association between the likelihood of unmet healthcare needs and patient satisfaction with local medical services was analyzed using a multivariable logistic regression analysis.

resultsOf the 23,822 participants diagnosed with diabetes, 1,141 (4.7%) reported unmet healthcare needs. A total of 18,198 (80.6%) individuals were satisfied with local medical services. Compared to those satisfied with local medical services, those unsatisfied were more likely to experience unmet needs (OR 1.65, 95% CI 1.41–1.94).

conclusionsUnmet healthcare needs were associated with patient satisfaction with local medical services. This suggests the importance of addressing this association, considering its potential correlation with health outcomes and disease burden.

Indexed as

Diabetes MellitusHealth Services AccessibilityHealth Services Needs and DemandPatient SatisfactionAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedRepublic of KoreaDiabetes mellitusHealthcare accessPatient satisfactionUnmet medical need

Identifiers

PMID41787420
PMCPMC13077801

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.